Trello MCP Server by CData

Created By
CDataSoftwarea year ago
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Trello (beta): https://www.cdata.com/download/download.aspx?sku=UTZK-V&type=beta
Overview

What is Trello MCP Server by CData?

The Trello MCP Server by CData is a read-only Model Context Protocol (MCP) server designed to allow large language models (LLMs) to query live data from Trello using natural language, without the need for SQL.

How to use Trello MCP Server?

To use the Trello MCP Server, clone the repository, build the server, install the CData JDBC Driver for Trello, configure your connection, and create a configuration file for your AI client (e.g., Claude Desktop).

Key features of Trello MCP Server?

  • Provides a read-only interface to Trello data for LLMs.
  • Allows querying of live data using natural language.
  • Simplifies data access without requiring SQL knowledge.

Use cases of Trello MCP Server?

  1. Querying project management data from Trello.
  2. Integrating Trello data with AI applications.
  3. Enabling natural language queries for project tracking.

FAQ from Trello MCP Server?

  • Can I write data to Trello using this server?

No, this server is read-only. For write capabilities, use the full CData MCP Server for Trello.

  • Is there a trial version available?

Yes, you can download a trial version of the CData JDBC Driver for Trello.

Server Config

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\trello.prp"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
CDataSoftware
Star
-
Language
-
License
-

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago